AI Productivity Analyst at Dialpad in San Ramon

Summary: Dialpad is the leading AI-powered customer communications platform, transforming how businesses communicate with their customers. As an AI Productivity Analyst, you will evaluate and implement AI tools to enhance productivity across various functions within the company. Responsibilities: - Partner with functional leads in Engineering, Design, Marketing, Customer Success, and FP&A to map high-value process bottlenecks - Research, shortlist, and demo external GenAI & ML products that can automate or accelerate those workflows - Design and run structured experiments (PoCs, A/B tests, pilot roll-outs) to quantify productivity impact and user adoption - Develop and present ROI models, providing actionable recommendations to senior leadership - Support implementation (including light configuration, prompt engineering, and user training) of selected solutions - Track business unit KPIs and OKRs post-deployment; iterate with partners and vendors to hit or exceed the 20% productivity target Required Qualifications: - Bachelor's degree in Computer Science or comparable technical degree, with a minor or demonstrated interest in Business Analytics, Data Science, (applied) AI, or related fields - Demonstrated hands-on fluency with GenAI tools (e.g., Gemini, ChatGPT, Claude, Grok, etc.) in personal or academic projects - Solid understanding of AI technologies, machine learning concepts, and their applications in business settings - Analytical mindset: able to design experiments, interpret metrics, and separate signals from noise - Clear, concise communicator comfortable distilling technical findings for non-technical stakeholders - Curiosity, bias for action, and ownership mentality in a fast-moving, ambiguous environment - Track business unit KPIs and OKRs post-deployment; iterate with partners and vendors to hit or exceed the 20% productivity target Preferred Qualifications: - Experience with SaaS integrations (Zapier, APIs) or low-code automation platforms - Solid foundation in Python or SQL; familiarity with data-viz dashboards (Tableau, etc.) Required Skills: GenAI tools, AI technologies, Machine learning Important Skills: Python, SQL, SaaS integrations Nice-to-Have Skills: Analytical mindset, Clear communicator, Curiosity, Ownership mentality Benefits: Competitive benefits and perks, Robust training program